Triple

T5051469
Position Surface form Disambiguated ID Type / Status
Subject Asia-Pacific ports E113794 entity
Predicate hasPart P35 FINISHED
Object Port of Colombo E11029 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Port of Colombo | Statement: [Asia-Pacific ports, hasPart, Port of Colombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Colombo
Context triple: [Asia-Pacific ports, hasPart, Port of Colombo]
  • A. Port of Galle
    The Port of Galle is a historic natural harbor and regional maritime hub on Sri Lanka’s southern coast, long significant for trade and navigation in the Indian Ocean.
  • B. Colombo chosen
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • C. Hambantota
    Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
  • D. Trincomalee
    Trincomalee is a strategically important natural deep-water harbor and coastal city on the northeastern coast of Sri Lanka.
  • E. Bandaranaike International Airport
    Bandaranaike International Airport is the main international gateway to Sri Lanka, located near Colombo and serving as the country’s busiest and largest airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea483b6cc8190b3b48598a291d708 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.